
# Save 保存读取

import tensorflow as tf
import numpy as np

# # Save to file

# remember to define the same dtype and shape when restore

# W = tf.Variable([[1,2,3],[3,4,5]],dtype=tf.float32,name='weights')
# b = tf.Variable([[1,2,3]],dtype=tf.float32,name='biases')
#
# init = tf.global_variables_initializer()
#
# saver = tf.train.Saver()
#
# with tf.Session() as sess:
#     sess.run(init)
#     save_path = saver.save(sess,"my_net/save_net.ckpt")
#     print("Save to path:",save_path)



# restore variables
W = tf.Variable(np.arange(6).reshape((2,3)),dtype=tf.float32,name='weights')
b = tf.Variable(np.arange(3).reshape((1,3)),dtype=tf.float32,name='biases')

# 不需要init
saver = tf.train.Saver()
with tf.Session() as sess:
    saver.restore(sess,"my_net/save_net.ckpt")
    print("weights:",sess.run(W))
    print("biaese:",sess.run(b))